CVE-2022-29198 (Medium) detected in tensorflow-2.0.0b1-cp36-cp36m-manylinux1_x86_64.whl

[mend-for-github-com]

CVE-2022-29198 - Medium Severity Vulnerability

Vulnerable Library - tensorflow-2.0.0b1-cp36-cp36m-manylinux1_x86_64.whl

TensorFlow is an open source machine learning framework for everyone.

Library home page: https://files.pythonhosted.org/packages/29/6c/2c9a5c4d095c63c2fb37d20def0e4f92685f7aee9243d6aae25862694fd1/tensorflow-2.0.0b1-cp36-cp36m-manylinux1_x86_64.whl

Path to dependency file: /lite/micro/examples/magic_wand/train/requirements.txt

Path to vulnerable library: /lite/micro/examples/magic_wand/train/requirements.txt

Dependency Hierarchy:

• ❌ tensorflow-2.0.0b1-cp36-cp36m-manylinux1_x86_64.whl (Vulnerable Library)

Vulnerability Details

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of tf.raw_ops.SparseTensorToCSRSparseMatrix does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack. The code assumes dense_shape is a vector and indices is a matrix (as part of requirements for sparse tensors) but there is no validation for this. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

Publish Date: 2022-05-20

URL: CVE-2022-29198

CVSS 3 Score Details (5.5)

Base Score Metrics:

• Exploitability Metrics:
  • Attack Vector: Local
  • Attack Complexity: Low
  • Privileges Required: Low
  • User Interaction: None
  • Scope: Unchanged
• Impact Metrics:
  • Confidentiality Impact: None
  • Integrity Impact: None
  • Availability Impact: High

For more information on CVSS3 Scores, click here.

Suggested Fix

Type: Upgrade version

Origin: https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-29198

Release Date: 2022-05-20

Fix Resolution: tensorflow - 2.6.4,2.7.2,2.8.1,2.9.0;tensorflow-cpu - 2.6.4,2.7.2,2.8.1,2.9.0;tensorflow-gpu - 2.6.4,2.7.2,2.8.1,2.9.0